We found that using 60000 history vectors of training data and history vectors made up of 3 exposures provided a consistent correction (apart from the 7 m/s layer, see further discussion in Section REF ), a result also found by Jensen-Clem (2019)[1]}, and used these parameters for our prediction performance estimates.
